Factual package intelligence from PyPI
A scikit-learn-compatible package for exploring the coefficients of implicitly defined features learned by Kernel Ridge Regression models.
pip install kernelpopper
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3.0.0,>=2.3.3<2.0.0,>=1.7.2<5.0.0,>=4.67.1kernelpopper publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.
Declared Python classifiers: 3.12, 3.13, 3.14.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.